Skip to main content

FBGEMM_GPU

FBGEMM_GPU-CPU CI FBGEMM_GPU-CUDA CI FBGEMM_GPU-ROCm CI

FBGEMM_GPU (FBGEMM GPU Kernels Library) is a collection of high-performance PyTorch GPU operator libraries for training and inference. The library provides efficient table batched embedding bag, data layout transformation, and quantization supports.

See the full Documentation for more information on building, installing, and developing with FBGEMM_GPU, as well as the most up-to-date support matrix for this library.

Join the FBGEMM_GPU Community

For questions, support, news updates, or feature requests, please feel free to:

For contributions, please see the CONTRIBUTING file for ways to help out.

License

FBGEMM_GPU is BSD licensed, as found in the LICENSE file.

Release files for fbgemm-gpu-nightly-cpu 2026.9.11

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for fbgemm-gpu-nightly-cpu 2026.9.11
File
fbgemm_gpu_nightly_cpu-2026.9.11-cp314-cp314-manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ x86-64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp314-cp314-manylinux_2_28_aarch64.whl CPython 3.14 CPython 3.14 Linux glibc 2.28+ ARM64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp313-cp313-manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp313-cp313-manylinux_2_28_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ ARM64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp312-cp312-manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp312-cp312-manylinux_2_28_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ ARM64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp311-cp311-manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp311-cp311-manylinux_2_28_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ ARM64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp310-cp310-manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64 Details
fbgemm_gpu_nightly_cpu-2026.9.11-cp310-cp310-manylinux_2_28_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ ARM64 Details

Total release size: 56.8 MB

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp314-cp314-manylinux_2_28_x86_64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp314-cp314-manylinux_2_28_x86_64.whl
Size 6.4 MB
Tags CPython 3.14 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
cb1f806566d34bb17ade09662b2cb67396bea83a88bf8c3a8f147c28b328111b
BLAKE2b-256 checksum
How to use checksums
e3f9cc8602d3aaae2ba31cc7bd05611703bb2b21a54b239e8698dbee4eee9b79
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.7

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp314-cp314-manylinux_2_28_aarch64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp314-cp314-manylinux_2_28_aarch64.whl
Size 4.9 MB
Tags CPython 3.14 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
2cb1c9d9e2f9a60157ec68858d31d5ce6c482ab779de6021059af5729fa9432a
BLAKE2b-256 checksum
How to use checksums
540677a33572c47506fa622ab8d507608a26e0948e784ab834854b7f0b34e190
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.7

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp313-cp313-manylinux_2_28_x86_64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp313-cp313-manylinux_2_28_x86_64.whl
Size 6.4 MB
Tags CPython 3.13 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
b3fa2c339e03cc92564e1d42788ddee83a942566d0729a8d137f5ae250680c8e
BLAKE2b-256 checksum
How to use checksums
6630e3cd06bc2e8fe3caa661c4d2bacc0be24166ba5ccff2755db084ed7f4583
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.15

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp313-cp313-manylinux_2_28_aarch64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp313-cp313-manylinux_2_28_aarch64.whl
Size 4.9 MB
Tags CPython 3.13 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
70e44101535e2b41b50a6bcff3509826970ec760e462a5d1297157b7a8f802e0
BLAKE2b-256 checksum
How to use checksums
14b6cee9cf887a314ea79d55c5cf7fbc3c42b94efcfd0159fd758bde1b674d94
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.15

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp312-cp312-manylinux_2_28_x86_64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp312-cp312-manylinux_2_28_x86_64.whl
Size 6.4 MB
Tags CPython 3.12 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
3795cdfcd60d06759b2bddd648e3eaa1835f4058480d84eb1d693fc98b49cf14
BLAKE2b-256 checksum
How to use checksums
1822983d7f93106ba1cca72a4d63429a5144c03169e127407dffd952638f243d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.14

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp312-cp312-manylinux_2_28_aarch64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp312-cp312-manylinux_2_28_aarch64.whl
Size 4.9 MB
Tags CPython 3.12 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
58de38489abcc398502ed3df0f58d72d81a3e39ac5d9587f73cb1669261b8d5e
BLAKE2b-256 checksum
How to use checksums
9767e897fe68cbd0c983e8138d8562c094380ee88fe8ebd725e6fdd8eca006b7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.14

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp311-cp311-manylinux_2_28_x86_64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp311-cp311-manylinux_2_28_x86_64.whl
Size 6.4 MB
Tags CPython 3.11 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
e63dc981986045c05629318ea0a9429c4ae0f647c8ad885a1d92681ae905a932
BLAKE2b-256 checksum
How to use checksums
ded617cc75149c25c2e4fab67516596f2978c8aba7163ebd50a295d13189fd04
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.16

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp311-cp311-manylinux_2_28_aarch64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp311-cp311-manylinux_2_28_aarch64.whl
Size 4.9 MB
Tags CPython 3.11 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
c7dc2a14a7bbdc59442ec27fc4babe6cc1e86c3496111bfc539ac6acfe986faf
BLAKE2b-256 checksum
How to use checksums
a4c243adb28aba530db7a35fe6d9270632711e0074b7c5e92b92d84bda085120
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.16

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp310-cp310-manylinux_2_28_x86_64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp310-cp310-manylinux_2_28_x86_64.whl
Size 6.4 MB
Tags CPython 3.10 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
4a7c2242602b606400a803e277848ff05abb297cde4cf71467992425d7dce792
BLAKE2b-256 checksum
How to use checksums
f263bbe1c4cfe214d9bf4448fff36db62015ae903fd5fc7e92d5f82dac5c8cf9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.21

Release files / fbgemm_gpu_nightly_cpu-2026.9.11-cp310-cp310-manylinux_2_28_aarch64.whl

Download URL fbgemm_gpu_nightly_cpu-2026.9.11-cp310-cp310-manylinux_2_28_aarch64.whl
Size 4.9 MB
Tags CPython 3.10 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
da1f23a3c7e46971317c51f30f51d904b5a591d902454911b4c29bd67a345dcd
BLAKE2b-256 checksum
How to use checksums
43a66d861aad76f46932a78e83ef47f8ebfb9f690b9466a5e21a61285bd3fc32
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.10.21

Release history Release notifications | RSS feed

This release

2026.9.11 This release

10 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page